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Document worth reading: “Reinforcement Learning Applications”

We start with a brief introduction to reinforcement learning (RL), about its successful stories, basics, an example, issues, the ICML 2019 Workshop on RL for Real Life, how to use…

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Document worth reading: “IoT Technologies for Augmented Human: a Survey”

Internet of Things (IoT) technology has delivered new enablers for improving human abilities. These enablers promise an enhanced quality of life and professional efficiency; however, the synthesis of IoT and…

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Document worth reading: “A Survey of Utility-Oriented Pattern Mining”

The main purpose of data mining and analytics is to find novel, potentially useful patterns that can be utilized in real-world applications to derive beneficial knowledge. For identifying and evaluating…

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Document worth reading: “Social Media-based User Embedding: A Literature Review”

Automated representation learning is behind many recent success stories in machine learning. It is often used to transfer knowledge learned from a large dataset (e.g., raw text) to tasks for…

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Document worth reading: “Monte Carlo Gradient Estimation in Machine Learning”

This paper is a broad and accessible survey of the methods we have at our disposal for Monte Carlo gradient estimation in machine learning and across the statistical sciences: the…

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Document worth reading: “Optimization Models for Machine Learning: A Survey”

This paper surveys the machine learning literature and presents machine learning as optimization models. Such models can benefit from the advancement of numerical optimization techniques which have already played a…

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Document worth reading: “Machine Learning at the Network Edge: A Survey”

Devices comprising the Internet of Things, such as sensors and small cameras, usually have small memories and limited computational power. The proliferation of such resource-constrained devices in recent years has…

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Document worth reading: “Advances in Machine Learning for the Behavioral Sciences”

The areas of machine learning and knowledge discovery in databases have considerably matured in recent years. In this article, we briefly review recent developments as well as classical algorithms that…

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Document worth reading: “Deep Reinforcement Learning”

We discuss deep reinforcement learning in an overview style. We draw a big picture, filled with details. We discuss six core elements, six important mechanisms, and twelve applications, focusing on…

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Let’s get it right

Paper: AI Ethics for Systemic Issues: A Structural Approach The debate on AI ethics largely focuses on technical improvements and stronger regulation to prevent accidents or misuse of AI, with…